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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks
|
|---|---|
| Published in |
Genome Biology, March 2023
|
| DOI | 10.1186/s13059-023-02877-1 |
| Pubmed ID | |
| Authors |
Marouen Ben Guebila, Tian Wang, Camila M. Lopes-Ramos, Viola Fanfani, Des Weighill, Rebekka Burkholz, Daniel Schlauch, Joseph N. Paulson, Michael Altenbuchinger, Katherine H. Shutta, Abhijeet R. Sonawane, James Lim, Genis Calderer, David G.P. van IJzendoorn, Daniel Morgan, Alessandro Marin, Cho-Yi Chen, Qi Song, Enakshi Saha, Dawn L. DeMeo, Megha Padi, John Platig, Marieke L. Kuijjer, Kimberly Glass, John Quackenbush |
| Abstract |
Inference and analysis of gene regulatory networks (GRNs) require software that integrates multi-omic data from various sources. The Network Zoo (netZoo; netzoo.github.io) is a collection of open-source methods to infer GRNs, conduct differential network analyses, estimate community structure, and explore the transitions between biological states. The netZoo builds on our ongoing development of network methods, harmonizing the implementations in various computing languages and between methods to allow better integration of these tools into analytical pipelines. We demonstrate the utility using multi-omic data from the Cancer Cell Line Encyclopedia. We will continue to expand the netZoo to incorporate additional methods. |
X Demographics
The data shown below were collected from the profiles of 87 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 21% |
| Norway | 6 | 7% |
| India | 5 | 6% |
| France | 5 | 6% |
| China | 3 | 3% |
| United Kingdom | 3 | 3% |
| Spain | 2 | 2% |
| Mexico | 2 | 2% |
| Portugal | 1 | 1% |
| Other | 10 | 11% |
| Unknown | 32 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 44 | 51% |
| Members of the public | 41 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Unspecified | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 14 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Agricultural and Biological Sciences | 4 | 14% |
| Unspecified | 2 | 7% |
| Physics and Astronomy | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 April 2024.
All research outputs
#988,330
of 25,816,430 outputs
Outputs from Genome Biology
#687
of 4,520 outputs
Outputs of similar age
#21,291
of 426,917 outputs
Outputs of similar age from Genome Biology
#7
of 72 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 426,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.